The fate of flavonoids after oral administration: a comprehensive overview of its bioavailability.

Despite advancements in synthetic chemistry, nature remains the primary source of drug discovery, and this never-ending task of finding novel and active drug molecules will continue. Flavonoids have been shown to possess highly significant therapeutic activities such as anti-inflammatory, anti-oxidant, anti-viral, anti-diabetic, anti-cancer, anti-aging, neuroprotective, and cardioprotective, etc., However, it has been found that orally administered flavonoids have a critical absorption disorder and, therefore, have low bioavailability and show fluctuating pharmacokinetic and pharmacodynamic responses. A detailed investigation is required to assess and analyze the variation in the bioavailability of flavonoids due to interactions with the intestinal barrier. This review will emphasize on the bioavailability and the pharmacological applications of flavonoids, key factors affecting their bioavailability, and strategies for enhancing bioavailability, which may lead to deeper understanding of the extent of flavonoids as a treatment and/or prevention for different diseases in clinics.

Nomogram for predicting the long-term outcomes of uterine artery embolization for adenomyosis.

OBJECTIVE: The present study aimed to develop a nomogram to predict long-term outcomes of uterine artery embolisation (UAE) for treating adenomyosis. MATERIALS AND METHODS: We reviewed data of 221 patients with adenomyosis who underwent UAE between May 2016 and January 2018. Predictive factors were identified using multivariate logistic regression analysis. A nomogram to predict the outcome of UAE was created for the training set. The performance of the predictive model was assessed by discrimination (quantified using the area under the curve, AUC) and calibration (evaluated by calibration curves and Hosmer-Lemeshow test) internally within the training set. Finally, an independent external validation was conducted using the validation set. RESULTS: In total, 201 patients were included. In the training set (n = 137), 96 (70.1%) exhibited a good response (GR), and 41 (39.9%) showed a poor response (PR). In the validation set (n = 64), 44 (68.7%) showed GR and 20 (31.3%) showed PR. The dysmenorrhoea score, T2 signal type, CA125, apparent diffusion coefficient, accompanying endometriosis, and accompanying fibroids were identified as associated factors and used in the nomogram. The AUC of the nomogram was 0.800 (95% confidence interval [CI] 0.724-0.877) and 0.798 (95% CI 0.686-0.909) in the training and validation sets, respectively. The calibration curves and Hosmer-Lemeshow test showed optimal agreement between predicted and actual probabilities (training set: P = 0.754; validation set: P = 0.453). CONCLUSIONS: We developed a nomogram that could predict the outcome of UAE in patients with adenomyosis. This model has the potential to select patients for UAE.

Generation of a human induced pluripotent stem cell line (SDUBMSi001-A) from a hereditary spastic paraplegia patient carrying kif1a c.773C>T missense mutation.

KIF1A gene encodes the kinesin 1a protein, an axonal motor protein participating in axonal transport. Variants in KIF1A were identified in different forms of neurodegenerative diseases. Here, we generated induced pluripotent stem cells (iPSCs) from a Chinese hereditary spastic paraplegia (HSP) patient carrying a compound heterozygous c.773C>T(p.T258M) mutation in KIF1A gene by reprogramming peripheral blood cells with non-integrative vectors. The generated iPSC line (SDUBMSi001-A) had a normal karyotype, expressed pluripotency markers and could be differentiated into three germ layers in vitro.